time-to-botec

Benchmark sampling in different programming languages
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repl.txt (2893B)

      1 
      2 {{alias}}( [a, b, c] )
      3     Returns a triangular distribution object.
      4 
      5     Parameters
      6     ----------
      7     a: number (optional)
      8         Minimum support. Must be smaller than `b` and `c`. Default: `0.0`.
      9 
     10     b: number (optional)
     11         Maximum support. Must be greater than `a` and `c`. Default: `1.0`.
     12 
     13     c: number (optional)
     14         Mode. Must be greater than `a` and smaller than `b`. Default: `0.5`.
     15 
     16     Returns
     17     -------
     18     triangular: Object
     19         Distribution instance.
     20 
     21     triangular.a: number
     22         Minimum support. If set, the value must be smaller or equal to `b` and
     23         `c`.
     24 
     25     triangular.b: number
     26         Maximum support. If set, the value must be greater than or equal to `a`
     27         and `c`.
     28 
     29     triangular.c: number
     30         Mode. If set, the value must be greater than or equal to `a` and smaller
     31         than or equal to `b`.
     32 
     33     triangular.entropy: number
     34         Read-only property which returns the differential entropy.
     35 
     36     triangular.kurtosis: number
     37         Read-only property which returns the excess kurtosis.
     38 
     39     triangular.mean: number
     40         Read-only property which returns the expected value.
     41 
     42     triangular.median: number
     43         Read-only property which returns the median.
     44 
     45     triangular.mode: number
     46         Read-only property which returns the mode.
     47 
     48     triangular.skewness: number
     49         Read-only property which returns the skewness.
     50 
     51     triangular.stdev: number
     52         Read-only property which returns the standard deviation.
     53 
     54     triangular.variance: number
     55         Read-only property which returns the variance.
     56 
     57     triangular.cdf: Function
     58         Evaluates the cumulative distribution function (CDF).
     59 
     60     triangular.logcdf: Function
     61         Evaluates the natural logarithm of the cumulative distribution function
     62         (CDF).
     63 
     64     triangular.logpdf: Function
     65         Evaluates the natural logarithm of the probability density function
     66         (PDF).
     67 
     68     triangular.mgf: Function
     69         Evaluates the moment-generating function (MGF).
     70 
     71     triangular.pdf: Function
     72         Evaluates the probability density function (PDF).
     73 
     74     triangular.quantile: Function
     75         Evaluates the quantile function at probability `p`.
     76 
     77     Examples
     78     --------
     79     > var triangular = {{alias}}( 0.0, 1.0, 0.5 );
     80     > triangular.a
     81     0.0
     82     > triangular.b
     83     1.0
     84     > triangular.c
     85     0.5
     86     > triangular.entropy
     87     ~-0.193
     88     > triangular.kurtosis
     89     -0.6
     90     > triangular.mean
     91     0.5
     92     > triangular.median
     93     0.5
     94     > triangular.mode
     95     0.5
     96     > triangular.skewness
     97     0.0
     98     > triangular.stdev
     99     ~0.204
    100     > triangular.variance
    101     ~0.042
    102     > triangular.cdf( 0.8 )
    103     0.92
    104     > triangular.logcdf( 0.8 )
    105     ~-0.083
    106     > triangular.logpdf( 0.8 )
    107     ~-0.223
    108     > triangular.mgf( 0.8 )
    109     ~1.512
    110     > triangular.pdf( 0.8 )
    111     ~0.8
    112     > triangular.quantile( 0.8 )
    113     ~0.684
    114 
    115     See Also
    116     --------
    117